Lecturer
(Assistant Professor)
Beijing University of Posts and Telecommunications, Beijing, Chinaqiyg AT bupt DOT edu DOT cn
I am currently an assistant professor at BUPT. Previously, I was a PhD student at Pattern Recognition and Intelligent Systems (PRIS) laboratory at BUPT. I received the PhD in Signal Processing from Beijing University of Posts and Telecommunications (BUPT) in 2015 (Supervisor: Professor Jun Guo). From 2019 to 2020, I was a visiting scholar at SketchX lab headed by Dr. Yi-Zhe Song at the Centre for Vision Speech and Signal Processing (CVSSP) in University of Surrey. I also worked as a guest PhD at Aalborg University in Denmark in 2013 and a visiting researcher at Sun Yat-sen University in China in 2014.
My research interests include perceptual grouping, and sketch-based machine vision algorithms and tasks, such as sketch-based image retrieval (SBIR), sketch recognition, sketch generation and language-based sketch understanding.
News
[Oct.2021] NEW! One paper on sketch-based 3D shape retrieval (SBSR) with a new fine-grained SBSR dataset got accepted by TIP!
[Jul.2021] NEW! One paper on latticed sketch representation for sketch manipulation got accepted by ICCV 2021!
[Apr.2021] NEW! I'm co-organizing 1st workshop on Sketching for Human Expressivity (SHE) at ICCV'21!
[Mar.2021] One paper on perceptual reasoning got accepted by CVPR 2021!
[Nov.2020] One journal paper got accepted by IEEE TCSVT.
[Aug.2020] One paper is accepted at BMVC 2020 as oral presentation.
[Mar.2020] Two papers got accepted by IEEE ICME 2020.
[Dec.2019] One journal paper got accepted by IEEE TCSVT.
[Nov.2019] Moved to UK and started my visiting at CVSSP in University of Surrey!
[Aug.2019] One paper got accepted by IEEE VCIP 2019.
[May.2019] Got sponsorship from Chinese Scholarship Council (CSC) for visiting SketchX Lab at CVSSP in University of Surrey for one year!
Selected Publications
*: equal contribution
2021
SketchLattice: Latticed Representation for Sketch Manipulation
Yonggang Qi*, Guoyao Su*, Pinaki Nath Chowdhury, Mingkang Li and Yi-Zhe Song.
IEEE International Conference on Computer Vision (ICCV), 2021.
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PQA: Perceptual Question Answering
Yonggang Qi*, Kai Zhang*, Aneeshan Sain and Yi-Zhe Song.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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Towards Fine-Grained Sketch-Based 3D Shape Retrieval
Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song.
IEEE Transactions on Image Processing (TIP), 2021.
2020
Towards Practical Sketch-based 3D Shape Generation: The Role of Professional Sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches
Guoyao Su, Yonggang Qi, Kaiyue Pang, Jie Yang and Yi-Zhe Song.
The 31st British Machine Vision Virtual Conference (BMVC2020)
Oral Presentation, 5% acceptance rate
S3NET: Graph Representational Network For Sketch Recognition
Lan Yang, Aneeshan Sain, Linpeng Li, Yonggang Qi, Honggang Zhang and Yi-Zhe Song.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Improved Traffic Sign Detection In Videos Through Reasoning Effective RoI Proposals
Yanting Zhang, Yonggang Qi, Jie Yang and Jenq-Neng Hwang.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Sketch Fewer to Recognize More by Learning A Co-regularized Sparse Representation
Yonggang Qi and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
2016~2019
Unpaired Image-to-Sketch Translation Network for Sketch Synthesis
Yue Zhang, Guoyao Su, Yonggang Qi and Jie Yang.
IEEE Visual Communications and Image Processing (VCIP), 2019.
SketchSegNet+: An End-to-End Learning of RNN for Multi-Class Sketch Semantic Segmentation
Yonggang Qi and Zheng-Hua Tan.
IEEE ACCESS.
Image Retrieval by Dense Caption Reasoning
Xinru Wei, Yonggang Qi, Jun Liu and Fang Liu.
IEEE Visual Communications and Image Processing (VCIP), 2017. Oral
Instance-level Coupled Subspace Learning for Fine-grained Sketch-based Image Retrieval
Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang and Jun Guo.
European Conference on Computer Vision (ECCV), Workshop on Visual Analysis of Sketches, 2016. Oral
Sketch-based Image Retrieval via Siamese Convolutional Neural Network
Yonggang Qi, Yi-Zhe Song, Honggang Zhang and Jun Liu.
IEEE International Conference on Image Processing (ICIP), 2016.
2013~2015
Making Better Use of Edges via Perceptual Grouping
Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Im2Sketch: Sketch generation by unconflicted perceptual grouping
Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang and Zheng-Hua Tan.
Neurocomputing
sketching by perceptual grouping
Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang and Yi-Zhe Song.
IEEE International Conference on Image Processing (ICIP), 2013.
SketchLattice: Latticed Representation for Sketch Manipulation
Yonggang Qi*, Guoyao Su*, Pinaki Nath Chowdhury, Mingkang Li and Yi-Zhe Song.
IEEE International Conference on Computer Vision (ICCV), 2021.
PQA: Perceptual Question Answering
Yonggang Qi*, Kai Zhang*, Aneeshan Sain and Yi-Zhe Song.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Towards Fine-Grained Sketch-Based 3D Shape Retrieval
Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song.
IEEE Transactions on Image Processing (TIP), 2021.
Towards Practical Sketch-based 3D Shape Generation: The Role of Professional Sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches
Guoyao Su, Yonggang Qi, Kaiyue Pang, Jie Yang and Yi-Zhe Song.
The 31st British Machine Vision Virtual Conference (BMVC2020)
Oral Presentation, 5% acceptance rate
S3NET: Graph Representational Network For Sketch Recognition
Lan Yang, Aneeshan Sain, Linpeng Li, Yonggang Qi, Honggang Zhang and Yi-Zhe Song.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Improved Traffic Sign Detection In Videos Through Reasoning Effective RoI Proposals
Yanting Zhang, Yonggang Qi, Jie Yang and Jenq-Neng Hwang.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Sketch Fewer to Recognize More by Learning A Co-regularized Sparse Representation
Yonggang Qi and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Unpaired Image-to-Sketch Translation Network for Sketch Synthesis
Yue Zhang, Guoyao Su, Yonggang Qi and Jie Yang.
IEEE Visual Communications and Image Processing (VCIP), 2019.
SketchSegNet+: An End-to-End Learning of RNN for Multi-Class Sketch Semantic Segmentation
Yonggang Qi and Zheng-Hua Tan.
IEEE ACCESS.
Image Retrieval by Dense Caption Reasoning
Xinru Wei, Yonggang Qi, Jun Liu and Fang Liu.
IEEE Visual Communications and Image Processing (VCIP), 2017. Oral
Instance-level Coupled Subspace Learning for Fine-grained Sketch-based Image Retrieval
Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang and Jun Guo.
European Conference on Computer Vision (ECCV), Workshop on Visual Analysis of Sketches, 2016. Oral
Sketch-based Image Retrieval via Siamese Convolutional Neural Network
Yonggang Qi, Yi-Zhe Song, Honggang Zhang and Jun Liu.
IEEE International Conference on Image Processing (ICIP), 2016.
Making Better Use of Edges via Perceptual Grouping
Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Im2Sketch: Sketch generation by unconflicted perceptual grouping
Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang and Zheng-Hua Tan.
Neurocomputing
sketching by perceptual grouping
Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang and Yi-Zhe Song.
IEEE International Conference on Image Processing (ICIP), 2013.